微生物燃料电池
阳极
阴极
响应面法
降级(电信)
中心组合设计
化学工程
电化学
化学
枯草芽孢杆菌
电流密度
材料科学
制浆造纸工业
生物系统
电极
色谱法
计算机科学
物理
细菌
物理化学
工程类
生物
电信
量子力学
遗传学
作者
H. Abu Hassan,Bo Jin,Sheng Dai
标识
DOI:10.1080/09593330.2021.1907451
摘要
The interactions within microbial, chemical and electronic elements in microbial fuel cell (MFC) system can be crucial for its bio-electrochemical activities and overall performance. Therefore, this study explored polynomial models by response surface methodology (RSM) to better understand interactions among anode pH, cathode pH and inoculum size for optimising MFC system for generation of electricity and degradation of 2,4-dichlorophenol. A statistical central composite design by RSM was used to develop the quadratic model designs. The optimised parameters were determined and evaluated by statistical results and the best MFC systematic outcomes in terms of current generation and chlorophenol degradation. Statistical results revealed that the optimum current density of 106 mA/m2 could be achieved at anode pH 7.5, cathode pH 6.3-6.6 and 21-28% for inoculum size. Anode-cathode pHs interaction was found to positively influence the current generation through extracellular electron transfer mechanism. The phenolic degradation was found to have lower response using these three parameter interactions. Only inoculum size-cathode pH interaction appeared to be significant where the optimum predicted phenolic degradation could be attained at pH 7.6 for cathode pH and 29.6% for inoculum size.
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